
An Introduction to Data 4
Data science is a field of study that focuses on techniques and algorithms to extract knowledge from data. The area combines data mining and machine learning with dataspecific domains. This section focuses on defining "data" before going to any complicated topic.

Lecture1.1

Quiz1.12 questions

Lecture1.2

Lecture1.3


Data Dimensionality and Space 6
This section's focus is on defining the common terminology widely used in data science. The video lectures in this section focus on terms like objects, data points, features, dimensions, vectors, highdimensional data, and mathematical space.

Lecture2.1

Quiz2.11 question

Lecture2.2

Lecture2.3

Quiz2.22 questions

Lecture2.4


Proximity in Data Science Context 5
Many data mining and machine learning algorithms rely on distance or similarity between objects/data points. Video lectures in this section focus on standard proximity measures used in data science. The section also explains how to use proximity measures to examine the neighborhood of a given point.

Lecture3.1

Lecture3.2

Lecture3.3

Lecture3.4

Lecture3.5


Clustering algorithms 7
A large portion of data science focuses on exploratory analysis. Scientists and practitioners use statistical techniques to understand the data. One way to explore the data is to check if there are clusters of data points. A cluster is a group of data points that have similar features. This section explains the clustering algorithms.

Lecture4.1

Quiz4.12 questions

Lecture4.2

Lecture4.3

Lecture4.4

Lecture4.5

Lecture4.6


Classification algorithms 4